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generation | semeval-2014 | [
"The seats are uncomfortable if you are sitting against the wall on wooden benches."
] | {'aspect_term': [['seats', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I only tried a simple dish of spinach ravioli in a light oil and garlic sauce, but it actually faired better than most NYC Italian joints I've tried similar dishes at."
] | {'aspect_term': [['spinach ravioli in a light oil and garlic sauce', 'positive'], ['dish', 'positive'], ['dishes', 'neutral']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Very affordable and excellent ambient!"
] | {'aspect_term': [['ambient', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The last two times I ordered from here my food was soo spicy that I could barely eat it, and the spice took away from the flavor of the dish."
] | {'aspect_term': [['food', 'negative'], ['flavor', 'negative'], ['dish', 'negative'], ['spice', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"we were tired and cold when we got to the restaurant, then we sat down to begin ordering appetizers."
] | {'aspect_term': [['appetizers', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is delicious."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is very good for it's price, better than most fried dumplings I've had."
] | {'aspect_term': [['food', 'positive'], ['price', 'positive'], ['fried dumplings', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is good, especially their more basic dishes, and the drinks are delicious."
] | {'aspect_term': [['food', 'positive'], ['dishes', 'positive'], ['drinks', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food was spicy and delicious."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"i recommend the thai popcorn :)"
] | {'aspect_term': [['thai popcorn', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The sushi is average and the prices are anything but."
] | {'aspect_term': [['sushi', 'neutral'], ['prices', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Very good service and very good prices."
] | {'aspect_term': [['service', 'positive'], ['prices', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is inventive but still keeps traditional indian flavoring."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We visited Orsay during NY Restaurant Week and tried their $35 menu."
] | {'aspect_term': [['menu', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"An excellent alternative to fast food joints and ordering in but, the food was slightly disappointing."
] | {'aspect_term': [['fast food', 'negative'], ['food', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"If the omakase is to showcase technique and variety, serving almost 40% of items BBQ-ed and a spicy tuna roll wrapped with not-so-fresh nori seems to be a rather limp performance."
] | {'aspect_term': [['spicy tuna roll', 'negative'], ['serving', 'neutral'], ['nori', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'neutral'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Don't eat here unless you're starving for thai food and you work next door."
] | {'aspect_term': [['thai food', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We didn't get drink refills and she didn't even offer us the option of dessert."
] | {'aspect_term': [['drink refills', 'negative'], ['dessert', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We arrived on time for our reservation and seated promptly.The"
] | {'aspect_term': [['reservation', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Again, the waitress was awesome."
] | {'aspect_term': [['waitress', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"There was a small wait, but shorter than I expected."
] | {'aspect_term': [['wait', 'conflict']], 'aspect_category': [[None, 'conflict']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I do not recommend lunch specials just because it tasts the same with other regular chinese restaurant."
] | {'aspect_term': [['lunch specials', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"My turkey burger was not cooked at all, my friends salmon was completely raw."
] | {'aspect_term': [['turkey burger', 'negative'], ['salmon', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"This is one of the best comfort food places in the city."
] | {'aspect_term': [['comfort food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Very romantic fires - I've literally spent hours at Lanterna, drinking wine from their extensive wine and enjoying the ambience."
] | {'aspect_term': [['wine', 'positive'], ['ambience', 'positive'], ['wine', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Pizza is terrific, as is homemade pasta."
] | {'aspect_term': [['Pizza', 'positive'], ['homemade pasta', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I care more about the food and ambience."
] | {'aspect_term': [['food', 'neutral'], ['ambience', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"You rarely have to wait for a seat and the currys (masaman, green, red) are full of flavor and come super spicy if you ask for it."
] | {'aspect_term': [['seat', 'positive'], ['currys (masaman, green, red)', 'positive'], ['flavor', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We ordered the special, grilled branzino, that was so infused with bone, it was difficult to eat."
] | {'aspect_term': [['grilled branzino', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"They charge different prices all the time."
] | {'aspect_term': [['prices', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Though the Spider Roll may look like a challenge to eat, with soft shell crab hanging out of the roll, it is well worth the price you pay for them."
] | {'aspect_term': [['Spider Roll', 'conflict'], ['price', 'positive'], ['shell crab', 'positive']], 'aspect_category': [[None, 'conflict'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"A very inviting restaurant, with friendly service."
] | {'aspect_term': [['service', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Chance is a small cozy restaurant, with a romantic feel to it, the decor is great."
] | {'aspect_term': [['decor', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The staff is very attentive and we can almost always get a table."
] | {'aspect_term': [['staff', 'positive'], ['table', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is good, but very expensive for the casualness of it."
] | {'aspect_term': [['food', 'conflict']], 'aspect_category': [[None, 'conflict']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"If the weather is nice, try to snag an outside table."
] | {'aspect_term': [['table', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"So, for good food i'd recommend it, but not for a fun night out."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Service was slow had to wait to order and get food although not crowded."
] | {'aspect_term': [['Service', 'negative'], ['food', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is o.k., but not any better than what you get at a good neighborhood restaurant."
] | {'aspect_term': [['food', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"For some reason, all the seafood on the menu was unavailable except for the Salmon."
] | {'aspect_term': [['seafood', 'negative'], ['menu', 'negative'], ['Salmon', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The service was terrible, we had to wait for everything and ask several of different people for the same thing before we were allowed to be served."
] | {'aspect_term': [['service', 'negative'], ['served', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The staff was accomodating, the food was absolutely delicious and the place is lovely."
] | {'aspect_term': [['staff', 'positive'], ['food', 'positive'], ['place', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Have the iced tea."
] | {'aspect_term': [['iced tea', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I like Cafe Noir dont get me wrong, it is jsut that the people who work there are evil and incompetent!!"
] | {'aspect_term': [['people', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Have always found that the waiters will go out of their way to be helpful, despite the fact they are often busy with lots of diners."
] | {'aspect_term': [['waiters', 'positive'], ['diners', 'neutral']], 'aspect_category': [[None, 'positive'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"This place has the best Chinese style BBQ ribs in the city."
] | {'aspect_term': [['BBQ ribs', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Overall, not worth the money."
] | {'aspect_term': [['money', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Overall a disappointing experience for that price category."
] | {'aspect_term': [['price', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"from an English speaking staff."
] | {'aspect_term': [['staff', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The main course had an average portion, and was decent overall."
] | {'aspect_term': [['main course', 'positive'], ['portion', 'neutral']], 'aspect_category': [[None, 'positive'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We arrived for dinner expecting to be impressed by a place that has an impressive past - but, that's just it -- the PAST!"
] | {'aspect_term': [['dinner', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We only ordered desserts and drinks, but no refills were offered."
] | {'aspect_term': [['desserts', 'neutral'], ['drinks', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Oh, and the complimentary pudding dessert was just enough- yummy!"
] | {'aspect_term': [['pudding dessert', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Solid wine list, knowledgeable staff, friendly owners and an adventurous, ever-changing menu keep us coming back."
] | {'aspect_term': [['wine list', 'positive'], ['staff', 'positive'], ['owners', 'positive'], ['menu', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The people that work there are always so friendly you forget you are in New York sometimes."
] | {'aspect_term': [['people', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went."
] | {'aspect_term': [['Food', 'positive'], ['view', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We had a wonderful meal at Naples 45 a month ago on a visit to NYC."
] | {'aspect_term': [['meal', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The sake menu should not be overlooked!"
] | {'aspect_term': [['sake menu', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Every waitress and customer who passed by me bumped into my chair."
] | {'aspect_term': [['waitress', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"After complaining about the chicken dish, the manager came over to tell us that, no one had ever complained before, and that we just didn't know what the dish was supposed to taste like."
] | {'aspect_term': [['chicken dish', 'negative'], ['manager', 'negative'], ['dish', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Their pad penang is delicious and everything else is fantastic."
] | {'aspect_term': [['pad penang', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I found it on a cold night, the perfect spot to warm up."
] | {'aspect_term': [['spot', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"They didn't give us the dinner special until we asked for it."
] | {'aspect_term': [['dinner special', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I've rarely had a problem with slow staff in the 10 years I've been going."
] | {'aspect_term': [['staff', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"They're also friendlier here, especially the owner, Kenny."
] | {'aspect_term': [['owner', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We, there were four of us, arrived at noon - the place was empty - and the staff acted like we were imposing on them and they were very rude."
] | {'aspect_term': [['staff', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I really recommend the very simple Unda (Egg) rolls."
] | {'aspect_term': [['Unda (Egg) rolls', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"You should pass on the calamari."
] | {'aspect_term': [['calamari', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I work near-by, and they have the BEST oatmeal in the neighborhood- not a packaged or quick-cooked item."
] | {'aspect_term': [['oatmeal', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The white bean brushetta to start was incredible and the pasta was phenomenal."
] | {'aspect_term': [['white bean brushetta', 'positive'], ['pasta', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"This place is always very crowded and popular."
] | {'aspect_term': [['place', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I can't wait for summer, when they serve outside on their gigantic patio."
] | {'aspect_term': [['patio', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"No one asked what was wrong as we left with nothing touched on our plates."
] | {'aspect_term': [['plates', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We also had shared a house salad that was fresh."
] | {'aspect_term': [['house salad', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The waiters were not attentive except that the bill turned up on the table before we were finished."
] | {'aspect_term': [['waiters', 'negative'], ['bill', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I grew up eating Dosa and have yet to find a place in NY to satisfy my taste buds."
] | {'aspect_term': [['Dosa', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The waitress, seems to be more concerned of looking good than actually waitressing."
] | {'aspect_term': [['waitress', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Please if your thinking about it go, and stay the wait you won't be disappointed."
] | {'aspect_term': [['wait', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"We were disappointed with the pre-fixe menu of only 2 choices per course (other restaurants offer 3 choices) and ended up ordering a la carte."
] | {'aspect_term': [['pre-fixe menu', 'negative'], ['choices per course', 'neutral'], ['ordering a la carte', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'neutral'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"My first time there I happened not to like the Crab Croquette apt that i ordered and they were happy to change it for me without making no big deal."
] | {'aspect_term': [['Crab Croquette apt', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Ambiance- relaxed and stylish."
] | {'aspect_term': [['Ambiance', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The menu is limited but almost all of the dishes are excellent."
] | {'aspect_term': [['menu', 'negative'], ['dishes', 'positive']], 'aspect_category': [[None, 'negative'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Butter was melted, white wine warm, cheese oozing everywhere."
] | {'aspect_term': [['Butter', 'negative'], ['white wine', 'negative'], ['cheese', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Three courses - choices include excellent mussels, puff pastry goat cheese and salad with a delicious dressing, and a hanger steak au poivre that is out of this world."
] | {'aspect_term': [['mussels', 'positive'], ['puff pastry goat cheese', 'positive'], ['salad with a delicious dressing', 'positive'], ['hanger steak au poivre', 'positive'], ['courses', 'neutral']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"And forget what you read under me, the atmosphere isn't that bad either."
] | {'aspect_term': [['atmosphere', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"I ordered the chu chu curry and my friend ordered the pad thai chicken."
] | {'aspect_term': [['chu chu curry', 'neutral'], ['pad thai chicken', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"It is obvious that no one in the restaurant has any idea about or experience with Japanese cuisine."
] | {'aspect_term': [['Japanese cuisine', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"They did not have mayonnaise, forgot our toast, left out ingredients (ie cheese in an omelet), below hot temperatures and the bacon was so over cooked it crumbled on the plate when you touched it."
] | {'aspect_term': [['toast', 'negative'], ['mayonnaise', 'negative'], ['bacon', 'negative'], ['cheese', 'neutral'], ['ingredients', 'negative'], ['plate', 'neutral'], ['omelet', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'negative'], [None, 'neutral'], [None, 'negative'], [None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"If you go for the pre-theatre menu, it's an even greater deal."
] | {'aspect_term': [['pre-theatre menu', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"From beginning appetizers, the scallops were incredible, to the delicious chocolate souffle with rasberry mint sorbet, we were delighted by the taste sensations."
] | {'aspect_term': [['beginning appetizers', 'positive'], ['scallops', 'positive'], ['chocolate souffle with rasberry mint sorbet', 'positive'], ['taste', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"My goodness, everything from the fish to the rice to the seaweed was absolutely amazing."
] | {'aspect_term': [['fish', 'positive'], ['rice', 'positive'], ['seaweed', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Deep Fried Skewers are good and still rare to find in NYC."
] | {'aspect_term': [['Deep Fried Skewers', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Great bar, most gorgeous bartenders you've ever seen (specifically the blond lady)."
] | {'aspect_term': [['bar', 'positive'], ['bartenders', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The people in the restaurant were pretty obnoxious and loud."
] | {'aspect_term': [['people', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"My family and I ate here last night for our annual Christmas dinner with the family members who would rather spend the holidays with friends out-of-town."
] | {'aspect_term': [['Christmas dinner', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Southern Indian cuisine is still there, too."
] | {'aspect_term': [['Southern Indian cuisine', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The prices were CHEAP compared to the quality of service and food."
] | {'aspect_term': [['prices', 'positive'], ['service', 'positive'], ['food', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Behind this counter, two men are squeezed in."
] | {'aspect_term': [['counter', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"If your visiting, you'll enjoy the ambiance and the fact that it's in Time Sq..."
] | {'aspect_term': [['ambiance', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"And, atlhough tables opened up next to us and we ASKED for a slightly larger space, they left us awkardly seated."
] | {'aspect_term': [['tables', 'neutral'], ['space', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |